60 citations · 60 across the 2 of their papers we have counts for
2 papers
hep-ex2026
Data Preservation in High Energy Physics: Global Report 2026
Matthew Bellis, Jamie Boyd, Daniel Britzger +46
This document summarizes the contributions to the 5th DPHEP workshop March 5-6, 2026, CERN, and reflects the advancements since 2024, as well as future milestones and tendencies. I…
hep-ex2020★ 60 cited
Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics
Laurits Tani, Diana Rand, Christian Veelken +1
The analysis of vast amounts of data constitutes a major challenge in modern high energy physics experiments. Machine learning (ML) methods, typically trained on simulated data, ar…